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Core concept · Entity & Knowledge Graph

Definition

Entity confidence is the degree to which an AI system can resolve a business to one consistent, verifiable entity across the sources it trusts. When a model reads a brand’s site, its listings, its reviews, and its third-party mentions and finds them describing the same thing, entity confidence is high. When those sources disagree or thin out, the model hedges, or it names a competitor it can resolve instead. An assistant names the business it can verify. Entity confidence is one of the three measures that decide whether a model puts a name in an answer, alongside quotability and topical authority. A business can be quotable and authoritative and still go unnamed, because the model cannot tell which entity the pages belong to. Consistent structured data, matching names and addresses across platforms, and corroborating mentions in sources the model trusts are what raise it. The work is making the entity resolve to one thing everywhere a model looks, which is the core of entity SEO.

Entity disambiguation

Distinct from

Topical authority

See also

Quotability

See also

Entity authority

See also

Entity recognition

See also

Knowledge graph

See also

Relevant Plate Lunch Collective Services

Entity SEO Context Map